JOURNAL ARTICLE

A multi-degree-of-freedom model-based method for Young's modulus determination of soft tissue by resonance spectroscopy.

  • Published In: Applied Physics Letters, 2025, v. 126, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hu, Yujie; Lu, Kecai; Li, Zhuangyu; Zhou, Daming 3 of 3

Abstract

This article focuses on a multi-degree-of-freedom (MDOF) model-based method to accurately determine the Young's modulus of soft tissue samples from resonance frequency measurements obtained via magnetomotive optical coherence elastography (MM-OCE). The study demonstrates that the MDOF model, which accounts for complex vibration modes, provides more reliable estimates of tissue elasticity compared to the commonly used single-degree-of-freedom (SDOF) model. Validation was performed using agar phantoms with varying stiffness, mechanical compression tests, and finite element method simulations, showing good agreement across methods. The approach is particularly suited for small, ex vivo soft tissue samples of various shapes and sizes, offering potential applications in clinical diagnosis and tissue engineering.

Additional Information

  • Source:Applied Physics Letters. 2025/02, Vol. 126, Issue 8, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0003-6951
  • DOI:10.1063/5.0252527
  • Accession Number:183389136
  • Copyright Statement:Copyright of Applied Physics Letters is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.